Logistic regression 与sklearn的实现有一些不同。 Gradient Stochastic gradient descent algorithm importnumpyasnpfromsklearn.datasetsimportload_breast_cancerfromsklearn.model_selectionimportKFoldfromsklearn.metricsimportf1_score,recall_score,precision_score# evaluation metricsclasslogreg_sgd_clf:def__init__(sel...
需要注意的是不能只是对初始正例样本重复采样,否则导致严重的过拟合,SMOTE算法中用用到了另一种机器学习的算法KNN(K邻近取样算法)。 fromimblearn.over_samplingimportSMOTEfromsklearn.model_selectionimporttrain_test_splitfromsklearn.ensembleimportRandomForestClassifierfromsklearn.metricsimportconfusion_matrix# 数据集...
模型评估(Model Evaluation)模型评估常用的包括了上面提到的交叉验证,损失函数,正则化惩罚,混淆矩阵,FPR,TPR(也可以称为recall),ROC,AUC,F1-Score下面不仅做了一次5层的交叉验证,还用了用了L1惩罚项,不断用惩罚系数去调整模型的精确度,确认惩罚系数,从结果图中可以看到,模型精确度不断在提升。 # 交叉验证准备,切...
To create the model, declare a logistic_reg() model. This needs mixture and penalty arguments which control the amount of regularization. A mixture value of 1 denotes a lasso model and 0 denotes ridge regression. Values in between are also allowed. The penalty argument denotes the strength of...
lr=LinReg.LinearRegression().fit(X_train_maxabs,Y) 模型预测 Y_pred_train = lr.predict(X_train_maxabs) print("Los Reg performance evaluation on Y_pred_train") print("R-squared =", metrics.r2_score(Y, Y_pred_train)) Los Reg performance evaluation on Y_pred_train R-squared = 0.7...
逻辑回归（Logistic+Regression）经典实例 逻辑回归（Logistic+Regression）经典实例机器学习算法完整版见 房价预测 数据集描述 数据共有81个特征 SalePrice - the property’s sale price in dollars. This is the target variable that you’re trying to predict.MSSubClass: The building class MSZoning: The ...
import org.apache.spark.mllib.classification.{LogisticRegressionModel, LogisticRegressionWithLBFGS} import org.apache.spark.mllib.evaluation.MulticlassMetrics import org.apache.spark.mllib.regression.LabeledPoint import org.apache.spark.mllib.util.MLUtils ...
这篇2023年发表于杂志Int J Surg (IF 15.3)的文章“Determination of weight loss effectiveness evaluation indexes and establishment of a nomogram for forecasting the probability of effectiveness of weight loss in bariatric surgery: a retrospective cohort”中回顾性的收集了540名行减肥手术患者手术前的信息,...
Evaluation of Logistic Regression and Neural Net- work Model With Sensitivity Analysis on Medical Datasets. Inter- national Journal of Computer Science and Security (IJCSS). 2011; 5(5): 503.Srivatsa SK. Evaluation of Logistic Regression and Neural Net- work Model With Sensitivity Analysis on ...
Evaluation 首先,我们看看一下测试集的准确率 fromsklearn.metricsimportaccuracy_score# Predictionspred_train=F.softmax(model(X_train),dim=1)pred_test=F.softmax(model(X_test),dim=1)print(f"sample probability: {pred_test[0]}")pred_train=pred_train.max(dim=1)[1]pred_test=pred_test.max(dim...